Video Representation Learning with Joint-Embedding Predictive Architectures
Fuente:
arXiv
Saved in:
| Main Authors: | Drozdov, Katrina, Shwartz-Ziv, Ravid, LeCun, Yann |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variance-Covariance Regularization Improves Representation Learning
by: Zhu, Jiachen, et al.
Published: (2023)
by: Zhu, Jiachen, et al.
Published: (2023)
The Entropy Enigma: Success and Failure of Entropy Minimization
by: Press, Ori, et al.
Published: (2024)
by: Press, Ori, et al.
Published: (2024)
A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures
by: Terver, Basile, et al.
Published: (2026)
by: Terver, Basile, et al.
Published: (2026)
Learning by Reconstruction Produces Uninformative Features For Perception
by: Balestriero, Randall, et al.
Published: (2024)
by: Balestriero, Randall, et al.
Published: (2024)
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
by: Balestriero, Randall, et al.
Published: (2025)
by: Balestriero, Randall, et al.
Published: (2025)
Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
by: Balestriero, Randall, et al.
Published: (2025)
by: Balestriero, Randall, et al.
Published: (2025)
Revisiting Feature Prediction for Learning Visual Representations from Video
by: Bardes, Adrien, et al.
Published: (2024)
by: Bardes, Adrien, et al.
Published: (2024)
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
by: Zeevi, Tal, et al.
Published: (2024)
by: Zeevi, Tal, et al.
Published: (2024)
Soft Clustering Anchors for Self-Supervised Speech Representation Learning in Joint Embedding Prediction Architectures
by: Ioannides, Georgios, et al.
Published: (2026)
by: Ioannides, Georgios, et al.
Published: (2026)
Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations
by: Kuang, Yilun, et al.
Published: (2026)
by: Kuang, Yilun, et al.
Published: (2026)
Learning and Leveraging World Models in Visual Representation Learning
by: Garrido, Quentin, et al.
Published: (2024)
by: Garrido, Quentin, et al.
Published: (2024)
Blockwise Self-Supervised Learning at Scale
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2023)
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2023)
Whole-Body Conditioned Egocentric Video Prediction
by: Bai, Yutong, et al.
Published: (2025)
by: Bai, Yutong, et al.
Published: (2025)
Learning Latent Action World Models In The Wild
by: Garrido, Quentin, et al.
Published: (2026)
by: Garrido, Quentin, et al.
Published: (2026)
AI Must Embrace Specialization via Superhuman Adaptable Intelligence
by: Goldfeder, Judah, et al.
Published: (2026)
by: Goldfeder, Judah, et al.
Published: (2026)
LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
by: Huang, Hai, et al.
Published: (2025)
by: Huang, Hai, et al.
Published: (2025)
From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
by: Shani, Chen, et al.
Published: (2025)
by: Shani, Chen, et al.
Published: (2025)
RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training
by: Goswami, Raktim Gautam, et al.
Published: (2024)
by: Goswami, Raktim Gautam, et al.
Published: (2024)
VL-JEPA: Joint Embedding Predictive Architecture for Vision-language
by: Chen, Delong, et al.
Published: (2025)
by: Chen, Delong, et al.
Published: (2025)
World Models for Learning Dexterous Hand-Object Interactions from Human Videos
by: Goswami, Raktim Gautam, et al.
Published: (2025)
by: Goswami, Raktim Gautam, et al.
Published: (2025)
Transformers without Normalization
by: Zhu, Jiachen, et al.
Published: (2025)
by: Zhu, Jiachen, et al.
Published: (2025)
Navigation World Models
by: Bar, Amir, et al.
Published: (2024)
by: Bar, Amir, et al.
Published: (2024)
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
by: Garrido, Quentin, et al.
Published: (2025)
by: Garrido, Quentin, et al.
Published: (2025)
Forgotten Polygons: Multimodal Large Language Models are Shape-Blind
by: Rudman, William, et al.
Published: (2025)
by: Rudman, William, et al.
Published: (2025)
UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures
by: Le, Triet M.
Published: (2026)
by: Le, Triet M.
Published: (2026)
URLOST: Unsupervised Representation Learning without Stationarity or Topology
by: Yun, Zeyu, et al.
Published: (2023)
by: Yun, Zeyu, et al.
Published: (2023)
Layer by Layer: Uncovering Hidden Representations in Language Models
by: Skean, Oscar, et al.
Published: (2025)
by: Skean, Oscar, et al.
Published: (2025)
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning
by: Moutakanni, Théo, et al.
Published: (2024)
by: Moutakanni, Théo, et al.
Published: (2024)
Embedded Representation Learning Network for Animating Styled Video Portrait
by: Wang, Tianyong, et al.
Published: (2024)
by: Wang, Tianyong, et al.
Published: (2024)
JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention
by: Ioannides, Georgios, et al.
Published: (2025)
by: Ioannides, Georgios, et al.
Published: (2025)
From Video to EEG: Adapting Joint Embedding Predictive Architecture to Uncover Saptiotemporal Dynamics in Brain Signal Analysis
by: Hojjati, Amirabbas, et al.
Published: (2025)
by: Hojjati, Amirabbas, et al.
Published: (2025)
A hierarchical loss and its problems when classifying non-hierarchically
by: Wu, Cinna, et al.
Published: (2017)
by: Wu, Cinna, et al.
Published: (2017)
Stochastic positional embeddings improve masked image modeling
by: Bar, Amir, et al.
Published: (2023)
by: Bar, Amir, et al.
Published: (2023)
US-JEPA: A Joint Embedding Predictive Architecture for Medical Ultrasound
by: Radhachandran, Ashwath, et al.
Published: (2026)
by: Radhachandran, Ashwath, et al.
Published: (2026)
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
by: Shwartz-Ziv, Ravid, et al.
Published: (2023)
by: Shwartz-Ziv, Ravid, et al.
Published: (2023)
Does Representation Matter? Exploring Intermediate Layers in Large Language Models
by: Skean, Oscar, et al.
Published: (2024)
by: Skean, Oscar, et al.
Published: (2024)
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
by: Kim, Donggeun, et al.
Published: (2024)
by: Kim, Donggeun, et al.
Published: (2024)
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
by: Schaeffer, Rylan, et al.
Published: (2024)
by: Schaeffer, Rylan, et al.
Published: (2024)
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
by: Zhai, Yuexiang, et al.
Published: (2024)
by: Zhai, Yuexiang, et al.
Published: (2024)
Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces
by: Shaar, Eitan, et al.
Published: (2026)
by: Shaar, Eitan, et al.
Published: (2026)
Similar Items
-
Variance-Covariance Regularization Improves Representation Learning
by: Zhu, Jiachen, et al.
Published: (2023) -
The Entropy Enigma: Success and Failure of Entropy Minimization
by: Press, Ori, et al.
Published: (2024) -
A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures
by: Terver, Basile, et al.
Published: (2026) -
Learning by Reconstruction Produces Uninformative Features For Perception
by: Balestriero, Randall, et al.
Published: (2024) -
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
by: Balestriero, Randall, et al.
Published: (2025)